I started to do the same with array methods, but before I spend too much time on it, I'd like to be sure I'm doing the right thing.

1. In add_newdocs.py, add
from numpy.core import ndarray

2. then add an entry for each method, eg
add_docstring(ndarray.var,
    """a.var(axis=None, dtype=None)
    Return the variance, a measure of the spread of a distribution.

    The variance is the average of the squared deviations from the mean,
    i.e. var = mean((x - x.mean())**2).

    See also: std
    """)

3. in arraymethods.c,
delete static char doc_var[] = ...

remove doc_var in
{"var", (PyCFunction)array_variance,
     METH_VARARGS|METH_KEYWORDS, doc_var},



David

2006/7/28, Sasha <ndarray@mac.com>:
On 7/28/06, Stefan van der Walt <stefan@sun.ac.za> wrote:

> Would anyone mind if the change was made?  If not, where should they
> go? (numpy/add_newdocs.py or numpy/core/something)

Another +1 for numpy/add_newdocs.py and a suggestion: check for
Py_OptimizeFlag > 1 in add_newdoc so that docstrings are not loaded if
python is invoked with -OO option.  This will  improve import numpy
time and reduce the memory footprint.  I'll make the change if no one
objects.

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